Instructions to use shuolin/HyperMotion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use shuolin/HyperMotion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image, export_to_video # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("shuolin/HyperMotion", dtype=torch.bfloat16, device_map="cuda") pipe.to("cuda") prompt = "A man with short gray hair plays a red electric guitar." image = load_image( "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png" ) output = pipe(image=image, prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
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license: cc-by-nc-4.0
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license: cc-by-nc-4.0
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# HyperMotion: DiT-Based Pose-Guided Human Image Animation of Complex Motions
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<a href="https://arxiv.org/abs/2505.22977"><img src='https://img.shields.io/badge/arXiv-2505.22977-red?style=flat&logo=arXiv&logoColor=red' alt='arxiv'></a>
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<a href='https://vivocameraresearch.github.io/hypermotion/'>
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<img src='https://img.shields.io/badge/Project-Page-pink?style=flat&logo=Google%20chrome&logoColor=pink'></a>
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<a href="http://www.apache.org/licenses/LICENSE-2.0"><img src='https://img.shields.io/badge/License-CC BY--NC--SA--4.0-lightgreen?style=flat&logo=Lisence' alt='License'></a>
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